SWE-Critix presents an LLM post-training pipeline for evaluating coding-agent trajectories. The trained verifier takes a trajectory as input and determines whether the trajectory successfully completes the task. Before making the binary judgment, the verifier also produces a chain-of-thought (CoT) rationale that justifies its decision.
SWE-Critix Post-training Pipeline
We release the model weights, datasets, and training scripts
Visit https://github.com/SWE-Critix/SWE-Critix to learn more.